Highways in the Texas Lower Rio Grande Valley fragment the landscape resulting in high wildlife road mortality rates, including for the federally endangered US ocelot (Leopardus pardalis). In response to ocelot-vehicle collisions, the Texas Department of Transportation constructed nine wildlife crossing structures (WCS) on Farm-to-Market (FM) 106 which adjoins Laguna Atascosa National Wildlife Refuge in Cameron County, Texas. Due to the lack of data collected on ocelots at WCS, bobcats (Lynx rufus) are often used as a surrogate species. Many road ecology projects are not able to identify target species to individual and are therefore limited to what analyses can be run. The bobcat’s unique spot pattern allows for the possibility of identification to individual and the opportunity to provide insight into how these individuals behave and move within the landscape. However, manual identification of individuals can be time consuming and cumbersome, especially in the case of camera-trap studies with large datasets. This study examines and compares three methods for identifying bobcats to individual: manual identification, a spot pattern software called HotSpotter, and occupancy abundance relationships (OAR). Identifying bobcats to individual will provide insight into the abundance of bobcats within the landscape and the number of those that are utilizing WCS. This is key in determining whether bobcats potentially act as a biological barrier to the endangered ocelot at South Texas road mitigation structures.